Skip to main content
  1. Posts/

TradingAgents: Multi-Agent LLM Financial Trading Framework

··227 words·2 mins·

πŸ“ˆ A Complete Team of AI Analysts for Trading
#

TradingAgents simulates the dynamics of a real trading firm β€” but with LLM agents instead of humans. πŸ€–

🏒 The Framework Structure
#

Just like a real investment firm:

Analyst Team:

  • πŸ“Š Fundamentals Analyst β€” evaluates company financials
  • οΏ½οΏ½ Sentiment Analyst β€” aggregates news, StockTwits, and Reddit
  • πŸ“° News Analyst β€” interprets macro event impacts
  • πŸ“‰ Technical Analyst β€” detects patterns with MACD, RSI, etc.

Research Team:

  • πŸ‚ Bullish and bearish researchers in structured debate

Management:

  • πŸ“‹ Trader Agent β€” makes decisions based on all reports
  • βš–οΈ Risk Management β€” evaluates volatility and liquidity
  • πŸ’Ό Portfolio Manager β€” approves/rejects transactions

πŸ› οΈ Multi-LLM and Open Source
#

Supports: OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, GLM, and local Ollama.

πŸ’‘ Explanation in a nutshell
#

TradingAgents is an open-source multi-agent framework for financial trading research with LLMs. It replicates the structure of a real investment firm: specialized analysts (fundamental, sentiment, technical), researchers in debate, a trader agent, and risk management. Agents debate each other to find the optimal strategy. Built with LangGraph, it supports dozens of LLM providers and includes a decision log with continuous learning. ⚠️ Not financial advice.

More information at the link πŸ‘‡

Also published on LinkedIn.
Juan Pedro Bretti Mandarano
Author
Juan Pedro Bretti Mandarano